A best first gradient based distributed decision tree model for accurately predicting location based services from user activity

Abstract

A social network is defined as an abstract structure consisting ofindividuals associated with one or more common attributes, such asfriendship, shared knowledge and / or common interests. Connectivity isstrengthened through social networks through location data. A space can berepresented by relative, absolute and symbolic form. The aim of online recommendation system is to assist the users to find the needed information inthe easiest way by recommending the social network based on their currentintent. Without such system, e-business sites might not retain their onlinecustomers and remain successful in the market. Thus, online recommendationsystem has attracted interest in the research community to improve theaccuracy of capturing the future navigation of user and thereby personalizethe user s web experience. The social network is also strongly recommended the implementation of recommendation system in social networks to providebetter experience for their users. Another important motivation forrecommendation is to decrease the unnecessary network traffic in the internetby letting the online users to find the web page of their interest quickly. There may be three types of geographical representation, including point location,area, and a path. newline